Test It. Defend It. Govern It. Trusted AI, End to End.
Your AI is in production. So is its attack surface, and so is its compliance obligation.
Somewhere in your organization, a model is already answering customers, an agent is already taking actions, and a RAG pipeline is already retrieving data nobody has re-checked since it went live. Cygeniq's AI Trust Services test how that AI actually fails, defend it and the business against AI-powered attacks in real time, and turn the resulting evidence into audit-ready proof, on one Runtime AI Trust Platform instead of three disconnected tools.
AI Risk Does Not Wait for Your Next Review Cycle
Generative and agentic AI fail in ways a traditional security and compliance stack was never built to see, and it fails on a schedule no annual process can keep up with. Models retrain, agents pick up new tools, retrieval pipelines pull in new data, and attackers aim AI of their own back at the business, sometimes in the same week a control was last checked.
A Trusted Input Is All It Takes
Prompt injection and jailbreaks hijack the model through inputs it was designed to trust, bypassing the guardrails you assumed held because the attack never looks like an attack until it works. A chatbot tested once before launch is not the same system running today.
AI Is Now Used Against the Business, Not Just Inside It
Flawless AI phishing and BEC, deepfake executives on video calls, polymorphic malware that rewrites itself past signature-based tools, and autonomous intrusions that do not wait for a human operator. A defense built for only your own AI leaves this side completely open.
Annual, Manual Compliance Cannot Keep Pace
The EU AI Act, ISO/IEC 42001 and a growing list of sector rules have turned AI governance into a binding, audited obligation. A point-in-time assessment does not show the model retrained last week or the agent that gained a new permission yesterday.
No Named Owner, No Audit Trail, No Timeline
No named owner, no control mapped to that owner, and no AI-aware telemetry means no single answer is ready when a regulator, board member or incident responder asks what happened and who is accountable for a specific AI system.
Three Continuous Services, One Runtime AI Trust Platform
Test it. Defend it. Govern it. Delivered as a service, not a one-time project.
Each service is built around how AI actually behaves, not how software used to behave. Findings and evidence move between all three automatically: red team findings tune runtime guardrails and feed the risk register, runtime telemetry becomes live compliance evidence, and every AI asset is assessed, re-evidenced and reported on in one continuous cycle instead of three disconnected engagements.
AI Security Red Teaming
Continuous, expert-led adversarial testing of LLM applications, RAG pipelines, agentic systems and fine-tuned models. The same techniques a real attacker would use are run on a schedule, not just before launch, with evidence and remediation guidance attached to every finding.
Turn findings into runtime protection and evidenceAI Native Defense
Runtime protection for the AI you build and defense against the AI already being used against you. Guardrails, detection and containment run continuously, with a delivery model, self-managed, co-managed or fully managed MXDR, that matches your team's capacity.
Act on red team findings in productionAI Governance, Risk & Compliance
Every AI asset assessed against the frameworks that actually apply to it, re-evidenced as it changes, and turned into attestations, risk-register entries and board-ready proof your regulators and auditors can review.
Turn runtime and test evidence into audit-ready proofEvery AI Asset, Every Angle, Every Framework in Scope
A chatbot, a RAG pipeline and an autonomous agent do not share an attack surface, a runtime risk profile or a compliance posture, so none of the three services stretch one generic checklist across all three. Each asset class gets testing, defense and governance built for how it actually fails.
Generative AI Red Teaming Across Every Asset Class
LLM Applications
Chatbots, copilots and assistants are tested for prompt injection, jailbreaks, system-prompt leakage and unsafe output handling.
RAG Pipelines
Knowledge-base poisoning, retrieval manipulation, cross-tenant exposure, and grounding and citation failure are tested directly.
Agentic Systems
Tool and function misuse, excessive agency, memory poisoning, and multi-step and multi-agent abuse chains are tested for real.
Fine-Tuned & Custom Models
Training-data extraction, backdoors, model theft, and alignment and guardrail bypass verify the model you built stays safe.
Two Runtime Security Packs, One Defense
Pack A · Secure the AI You Run
Shadow AI discovery, AI posture and AI BOM, a prompt injection firewall, data and egress guard, RAG integrity checks, and an agent action firewall governing what an autonomous agent is allowed to do.
Pack B · Defend Against Weaponized AI
Deepfake and impersonation detection, AI phishing and BEC defense, account takeover defense, and machine-speed containment coordinated across SOAR, EDR and IAM.
Governance and Compliance Across LLMs, RAG and Agentic AI
LLM Applications
Safety and content testing, prompt hardening, output guardrails, and controls aimed at hallucination and toxicity.
RAG Applications
Data-source controls, retrieval integrity checks, PII handling, grounding checks and access-control mapping.
Agentic and Autonomous AI
Action sandboxing, human-in-the-loop gates, scoped permissions, ongoing monitoring and kill-switch evidence.
Framework Packs
ISO/IEC 42001, NIST AI RMF and the EU AI Act as baseline, with HIPAA, HITRUST, FDA AI/ML and regional AI guidance as options.
Why Cygeniq for AI Trust
Purpose-built, end-to-end AI governance and security, trusted by industry leaders, on one Runtime AI Trust Platform rather than a stack of point tools.
Unified Runtime AI Trust Platform
Security, runtime defense and governance run on one Runtime AI Trust Platform. GRCortex AI, Hexashield AI and CyberTix AI connect compliance evidence, AI security testing and real-time threat detection instead of leaving teams to reconcile separate point tools.
Continuous, Not Point-in-Time
Testing, runtime protection and control evidence feed into the same assurance picture so it stays current as AI changes instead of aging the moment an assessment is filed away.
Deep Regulatory Expertise
Fluent across OWASP, MITRE ATLAS, ISO/IEC 42001, NIST AI RMF and the EU AI Act, with additional framework packs for regulated sectors.
Professional Services Depth
Specialists across LLM, RAG and agentic AI deliver the work from the Cygeniq AI Delivery Center, applying differentiated methods to different AI asset types.
AI-Native and Built to Scale
One classification model, one rate card and one refresh cycle apply whether the estate is a handful of pilots or hundreds of production systems, across all three services at once.
Start With a Scoping Workshop for Your AI Trust Program
Before any engagement begins, Cygeniq classifies your AI estate, confirms which services, framework packs and jurisdictions apply, and plans a 90-day pilot against your highest-risk applications. Most organizations leave the scoping workshop with real-time visibility into their AI security posture, a clear AI risk register and a compliance roadmap for the next 12 months. From pilot to production, the objective is tested, defended and governed AI, on one platform.
Start with a Scoping WorkshopAI Trust Services FAQs
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